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Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis

Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7db6be240b2d4d2b963adb464003e329

Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis

About this item

Full title

Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis

Publisher

London: Nature Publishing Group UK

Journal title

Communications biology, 2021-05, Vol.4 (1), p.590-590, Article 590

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

The novel betacoronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused a worldwide pandemic (COVID-19) after emerging in Wuhan, China. Here we analyzed public host and viral RNA sequencing data to better understand how SARS-CoV-2 interacts with human respiratory cells. We identified genes, isoforms and transposable element fa...

Alternative Titles

Full title

Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7db6be240b2d4d2b963adb464003e329

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7db6be240b2d4d2b963adb464003e329

Other Identifiers

ISSN

2399-3642

E-ISSN

2399-3642

DOI

10.1038/s42003-021-02095-0

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